The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 23, 2019

Filed:

Oct. 12, 2017
Applicant:

Kla-tencor Corporation, Milpitas, CA (US);

Inventors:

Martin Plihal, Pleasanton, CA (US);

Erfan Soltanmohammadi, San Jose, CA (US);

Saravanan Paramasivam, Chennai, IN;

Sairam Ravu, Chennai, IN;

Ankit Jain, Ballston Spa, NY (US);

Sarath Shekkizhar, Mountain View, CA (US);

Prasanti Uppaluri, Saratoga, CA (US);

Assignee:

KLA-Tencor Corp., Milpitas, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/00 (2006.01); G01N 21/55 (2014.01); G01N 21/88 (2006.01); G01N 21/95 (2006.01); G06N 99/00 (2010.01); G01N 21/956 (2006.01);
U.S. Cl.
CPC ...
G01N 21/9501 (2013.01); G01N 21/55 (2013.01); G01N 21/8803 (2013.01); G01N 21/8851 (2013.01); G06N 99/005 (2013.01); G01N 2021/8854 (2013.01); G01N 2021/95676 (2013.01); G06N 5/003 (2013.01);
Abstract

Methods and systems for training an inspection-related algorithm are provided. One system includes one or more computer subsystems configured for performing an initial training of an inspection-related algorithm with a labeled set of defects thereby generating an initial version of the inspection-related algorithm and applying the initial version of the inspection-related algorithm to an unlabeled set of defects. The computer subsystem(s) are also configured for altering the labeled set of defects based on results of the applying. The computer subsystem(s) may then iteratively re-train the inspection-related algorithm and alter the labeled set of defects until one or more differences between results produced by a most recent version and a previous version of the algorithm meet one or more criteria. When the one or more differences meet the one or more criteria, the most recent version of the inspection-related algorithm is outputted as the trained algorithm.


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